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Curve fitting of germination data using the Richards function
Author(s) -
BERRY G. J.,
CAWOOD R. J.,
FLOOD R. G.
Publication year - 1988
Publication title -
plant, cell and environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.646
H-Index - 200
eISSN - 1365-3040
pISSN - 0140-7791
DOI - 10.1111/j.1365-3040.1988.tb01135.x
Subject(s) - germination , curve fitting , function (biology) , mathematics , range (aeronautics) , data point , least squares function approximation , statistics , process (computing) , regression , computer science , botany , biology , materials science , evolutionary biology , estimator , composite material , operating system
. The fitting of the generalized Richards function to germination data by using two nested iterative and least squares regression procedures to estimate the four parameters (all of which can be associated with features of biological growth) is demonstrated. The program also involves a procedure of parallel curve analysis which makes comparisons between two curves by examining the whole process represented by the curve and not just a point or portion thereof. Excellent agreement between observed and expected values was obtained by analyzing data which defined patterns of germination exhibiting a range of rates and final percentages. The program also calculates a number of derived quantities including maximum daily rate of germination and time to 50% of final germination.